Inventory and Spatial Distribution of Landslides Triggered by the 8th August 2017 MW 6.5 Jiuzhaigou Earthquake, China Y Tian, C Xu, S Ma, X Xu, S Wang, H Zhang Journal of Earth Science 30, 206-217, 2019 | 126 | 2019 |
Optimized volume models of earthquake-triggered landslides C Xu, X Xu, L Shen, Q Yao, X Tan, W Kang, S Ma, X Wu, J Cai, M Gao, ... Scientific Reports 6 (1), 29797, 2016 | 122 | 2016 |
Planet image-based inventorying and machine learning-based susceptibility mapping for the landslides triggered by the 2018 Mw6. 6 Tomakomai, Japan Earthquake X Shao, S Ma, C Xu, P Zhang, B Wen, Y Tian, Q Zhou, Y Cui Remote Sensing 11 (8), 978, 2019 | 85 | 2019 |
Assessment of co-seismic landslide hazard using the Newmark model and statistical analyses: a case study of the 2013 Lushan, China, Mw6. 6 earthquake S Ma, C Xu Natural Hazards 96, 389-412, 2019 | 84 | 2019 |
Landslides triggered by the 2016 Mj 7.3 Kumamoto, Japan, earthquake C Xu, S Ma, Z Tan, C Xie, S Toda, X Huang Landslides 15, 551-564, 2018 | 78 | 2018 |
Two comparable earthquakes produced greatly different coseismic landslides: The 2015 Gorkha, Nepal and 2008 Wenchuan, China events C Xu, X Xu, Y Tian, L Shen, Q Yao, X Huang, J Ma, X Chen, S Ma Journal of Earth Science 27, 1008-1015, 2016 | 70 | 2016 |
Geometric and kinematic features of a landslide in Mabian Sichuan, China, derived from UAV photography S Ma, C Xu, X Shao, P Zhang, X Liang, Y Tian Landslides 16, 373-381, 2019 | 63 | 2019 |
Landslide development within 3 years after the 2015 Mw 7.8 Gorkha earthquake, Nepal Y Tian, LA Owen, C Xu, S Ma, K Li, X Xu, PM Figueiredo, W Kang, P Guo, ... Landslides 17, 1251-1267, 2020 | 56 | 2020 |
Automatic extraction of seismic landslides in large areas with complex environments based on deep learning: An example of the 2018 iburi earthquake, Japan P Zhang, C Xu, S Ma, X Shao, Y Tian, B Wen Remote Sensing 12 (23), 3992, 2020 | 50 | 2020 |
Effects of sampling intensity and non-slide/slide sample ratio on the occurrence probability of coseismic landslides X Shao, S Ma, C Xu, Q Zhou Geomorphology 363, 107222, 2020 | 47 | 2020 |
Characteristics and causes of the landslide on July 23, 2019 in Shuicheng, Guizhou Province, China S Ma, C Xu, X Xu, X He, H Qian, Q Jiao, W Gao, H Yang, Y Cui, P Zhang, ... Landslides 17, 1441-1452, 2020 | 37 | 2020 |
INVENTORY AND SPATIAL DISTRIBUTION OF LANDSLIDES IN Ⅸ-Ⅺ HIGH INTENSITY AREAS OF 1920 HAIYUAN (CHINA) M8.5 EARTHQUAKE XU Chong, T Yingying, MA Siyuan, X Xiwei, Z Bengang, W Xiyan, Z Jianqi, ... 工程地质学报 26 (5), 1188-1195, 2018 | 36 | 2018 |
Spatial prediction strategy for landslides triggered by large earthquakes oriented to emergency response, mid-term resettlement and later reconstruction S Ma, C Xu, X Shao International journal of disaster risk reduction 43, 101362, 2020 | 34 | 2020 |
Distribution and characteristics of shallow landslides triggered by the 2018 Mw 7.5 Palu earthquake, Indonesia X Shao, S Ma, C Xu Landslides 20 (1), 157-175, 2023 | 33 | 2023 |
Landslides triggered by the 6 September 2018 Mw 6.6 Hokkaido, Japan: an updated inventory and retrospective hazard assessment Y Cui, P Bao, C Xu, S Ma, J Zheng, G Fu Earth Science Informatics 14, 247-258, 2021 | 27 | 2021 |
Applicability of two newmark models in the assessment of coseismic landslide hazard and estimation of slope-failure probability: an example of the 2008 Wenchuan M w 7.9 … S Ma, C Xu Journal of Earth Science 30 (5), 1020-1030, 2019 | 26 | 2019 |
Characterizing the distribution pattern and a physically based susceptibility assessment of shallow landslides triggered by the 2019 heavy rainfall event in Longchuan County … S Ma, X Shao, C Xu Remote Sensing 14 (17), 4257, 2022 | 25 | 2022 |
Preliminary analysis of coseismic landslides induced by the 1 June 2022 Ms 6.1 Lushan Earthquake, China X Shao, C Xu, S Ma Sustainability 14 (24), 16554, 2022 | 20 | 2022 |
MAT. TRIGRS (V1. 0): A new open-source tool for predicting spatiotemporal distribution of rainfall-induced landslides S Ma, X Shao, C Xu, X He, P Zhang Natural Hazards Research 1 (4), 161-170, 2021 | 20 | 2021 |
UAV survey and numerical modeling of loess landslides: an example from Zaoling, southern Shanxi Province, China S Ma, J Wei, C Xu, X Shao, S Xu, S Chai, Y Cui Natural Hazards 104, 1125-1140, 2020 | 20 | 2020 |